Learning to map source code to software vulnerability using code-as-a-graph

15 June 2020

Papers citing "Learning to map source code to software vulnerability using code-as-a-graph"

7 / 7 papers shown

Title
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks B.K. Casey Joanna C. S. Santos George Perry 63 5 0 15 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 50 3 0 11 Jan 2024
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction P. Samoaa Linus Aronsson Antonio Longa Philipp Leitner M. Chehreghani 24 6 0 06 Apr 2023
Data-Driven AI Model Signal-Awareness Enhancement and Introspection Sahil Suneja Yufan Zhuang Yunhui Zheng Jim Laredo Alessandro Morari SyDa 32 1 0 10 Nov 2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection Zhenguang Liu Peng Qian Xiaoyang Wang Yuan Zhuang Lin Qiu Xun Wang 27 206 0 24 Jul 2021
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis Yunhui Zheng Saurabh Pujar B. Lewis Luca Buratti Edward Epstein Bo Yang Jim Laredo Alessandro Morari Zhong Su 27 125 0 16 Feb 2021
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 32 33 0 25 Nov 2020